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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2017/07/17 17:36:00 UTC
[jira] [Commented] (ARROW-1156) pyarrow.Array.from_pandas should
take a type parameter
[ https://issues.apache.org/jira/browse/ARROW-1156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16090145#comment-16090145 ]
Wes McKinney commented on ARROW-1156:
-------------------------------------
Marking for 0.6.0 to make some improvements to this functionality (and documentation)
> pyarrow.Array.from_pandas should take a type parameter
> ------------------------------------------------------
>
> Key: ARROW-1156
> URL: https://issues.apache.org/jira/browse/ARROW-1156
> Project: Apache Arrow
> Issue Type: New Feature
> Affects Versions: 0.4.0
> Reporter: Wenchen Fan
> Fix For: 0.6.0
>
>
> It's convenient to infer the data type so that users can just write {{pyarrow.Array.from_pandas(arr)}}, however, sometimes users want fine-grained control, e.g., if we have an object type numpy array, whose values are all null. When we convert it to an arrow column vector, we may need a specific type instead of NullType.
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